Skip to main content

'micomputing' is a package for medical image computing.

Project description

MIComputing

Introduction

Package micomputing is the medical image processing package under project PyCAMIA. It handles medical image read write, image interpolation, transformation, registration and so on. This package works under PyCAMIA and use batorch.Tensor as its basic data format.

Installation

This package can be installed by pip install micomputing or moving the source code to the directory of python libraries (the source code can be downloaded on github or PyPI).

pip install micomputing

Acknowledgment

@Yuncheng Zhou: Developer

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

micomputing-1.1.46.tar.gz (92.3 kB view details)

Uploaded Source

Built Distribution

micomputing-1.1.46-py3-none-any.whl (101.2 kB view details)

Uploaded Python 3

File details

Details for the file micomputing-1.1.46.tar.gz.

File metadata

  • Download URL: micomputing-1.1.46.tar.gz
  • Upload date:
  • Size: 92.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.1

File hashes

Hashes for micomputing-1.1.46.tar.gz
Algorithm Hash digest
SHA256 43a2317eccccf5e6b93f5896781b605d3933afa2387aee074ef6236a75dbea7d
MD5 e745d52b96e1208fba402571b3e26ee8
BLAKE2b-256 7e89b99ea03eb0ef60cbdd1417c45b20f4c1803e4c4818cf725ce0ae9b9b7634

See more details on using hashes here.

File details

Details for the file micomputing-1.1.46-py3-none-any.whl.

File metadata

  • Download URL: micomputing-1.1.46-py3-none-any.whl
  • Upload date:
  • Size: 101.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.1

File hashes

Hashes for micomputing-1.1.46-py3-none-any.whl
Algorithm Hash digest
SHA256 e2f5921946a5f02ee4476a2c4ac44839a23a01a18eab8e08de205eadc32ccdfd
MD5 bb9c7f994344bc3a6d3674b4186ef0ff
BLAKE2b-256 07a53287a3d28d1c410e2015504704575792ab4071fc1693b14e5d0d63d7125b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page